Jiao Li
Molecular Biology · 2016
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 49 citations into it; #13,374 of 17,773 by trust here, #6,685 by citations
- Artificial Intelligence — 16 citations into it; #29,944 of 35,345 by trust here, #10,667 by citations
Whom Jiao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Leaman
- Zhiyong Lu
- Chih-Hsuan Wei
- Rezarta Islamaj Dogan
- Allan Peter Davis
- Michael Kuhn
- Joel T. Dudley
- S. Parasuraman
- Eric E. Schadt
Who trusts Jiao Li overall
- Yannis Papanikolaou
- Yifan Peng
- Iz Beltagy
- Chih-Hsuan Wei
- Fangyu Liu
- Jay DeYoung
- Mark Neumann
- Nathan Greenberg
- Guoshun Nan
- Xinyu Wang
Papers from Jiao Li's perspective
Ordered by how strongly the researchers Jiao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (Pacific Symposium on Biocomputing)
- PubTator: a web-based text mining tool for assisting biocuration
- Extraction of potential adverse drug events from medical case reports
- DNorm: disease name normalization with pairwise learning to rank
- A side effect resource to capture phenotypic effects of drugs
- Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks (BioNLP@ACL)
- Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
- A CTD–Pfizer collaboration: manual curation of 88 000 scientific articles text mined for drug–disease and drug–phenotype interactions
- Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical–gene–disease networks (Nucleic Acids Res.)
Their papers
- BioCreative V CDR task corpus: a resource for chemical disease relation extraction (2016) — 1,061 citations
- Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task (2016) — 357 citations
- A survey of current trends in computational drug repositioning (2016) — 476 citations